基于分级直觉模糊推理的通信干扰威胁评估方法

Communication Interference Threat Assessment based on Hierarchical Intuitionistic Fuzzy Reasoning

为解决当前干扰威胁评估中规则制定易组合爆炸、评估结果对输入变化不敏感、指标权重难确定等问题,提出了分级直觉模糊推理干扰威胁评估方法。首先,阐述了干扰威胁评估的作用意义,建立了干扰威胁评估的指标体系。其次,设计了干扰威胁评估各要素的隶属度函数和属性函数,依据专家知识库采用分级方法制定推理合成规则,大大降低了规则制定的复杂度,有效解决了规则的组合爆炸难题,讨论了不同解模糊方法的优缺点,采用重心法实现了解模糊。最后,通过实验讨论该方法的可行性,证明实验结果与理论分析完全一致,说明评估方法有效可行。

In order to solve the current problems such as combinatorial explosion in the assessment of interference threat assessment, and that the evaluation results are not sensitive to input changes, and the index weights are difficult to determine, an interference threat assessment method based on hierarchical intuitionistie fuzzy reasoning is proposed. Firstly, the role and significance of interference threat assessment are expounded, and the indicator system for interference threat assessment established. Then, the membership function and attribute function for each component of the interference threat assessment are designed. According to the expert knowledge base, the classification method is adopted to formulate the inference synthesis rules. This greatly reduces the complexity of rulemaking and effectively solves the problem of combined explosion of rules. The advantages and disadvantages of different defuzzification methods are discussed, and the center of gravity method is used to implement the fuzzy solution. Finally, the feasibility of the method is discussed through experiments. The experimental results are completely consistent with the theoretical analysis, indicating that this evaluation method is feasible and effective.